{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/sebastiantonke/Desktop/Replication Package/Replication files experiment/output_logs/table A18.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}12 Jul 2023, 04:15:39
{txt}
{com}. 
.  
. ** Balance Entropy **
. preserve
{txt}
{com}. keep if ebalancematch==0 | ebalancematch==1
{txt}(138,088 observations deleted)

{com}. drop if t>12
{txt}(131,414 observations deleted)

{com}. sum t

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 11}t {c |}{res}    134,041    6.721108    3.432105          1         12
{txt}
{com}. replace t=t-6.721108 // demean time var
{txt}(134,041 real changes made)

{com}. 
. 
. reg paidcount c.t##ebalancematch [pweight=entropy_weight], vce(cluster customer)
{txt}(sum of wgt is 71,029.3205338945)

Linear regression                               Number of obs     = {res}   118,585
                                                {txt}F(3, 10135)       =  {res}     0.10
                                                {txt}Prob > F          = {res}    0.9605
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .47925

{txt}{ralign 83:(Std. Err. adjusted for {res:10,136} clusters in customer)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        paidcount{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t {c |}{col 19}{res}{space 2}-.0003005{col 31}{space 2} .0005534{col 42}{space 1}   -0.54{col 51}{space 3}0.587{col 59}{space 4}-.0013853{col 72}{space 3} .0007843
{txt}{space 2}1.ebalancematch {c |}{col 19}{res}{space 2} .0003759{col 31}{space 2} .0055965{col 42}{space 1}    0.07{col 51}{space 3}0.946{col 59}{space 4}-.0105944{col 72}{space 3} .0113461
{txt}{space 17} {c |}
ebalancematch#c.t {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .0003208{col 31}{space 2} .0008301{col 42}{space 1}    0.39{col 51}{space 3}0.699{col 59}{space 4}-.0013063{col 72}{space 3}  .001948
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} .3572212{col 31}{space 2}  .003716{col 42}{space 1}   96.13{col 51}{space 3}0.000{col 59}{space 4} .3499372{col 72}{space 3} .3645052
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. foreach var of varlist lnpayment asinhpayment asinhinvoice closingbalancew {c -(}
{txt}  2{com}. reg `var' c.t##ebalancematch [pweight=entropy_weight], vce(cluster customer)
{txt}  3{com}. {c )-}
{txt}(sum of wgt is 25,387.4119020849)

Linear regression                               Number of obs     = {res}    39,898
                                                {txt}F(3, 9184)        =  {res}     0.40
                                                {txt}Prob > F          = {res}    0.7557
                                                {txt}R-squared         = {res}    0.0001
                                                {txt}Root MSE          =    {res} 1.0599

{txt}{ralign 83:(Std. Err. adjusted for {res:9,185} clusters in customer)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}        lnpayment{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t {c |}{col 19}{res}{space 2} .0025712{col 31}{space 2} .0026059{col 42}{space 1}    0.99{col 51}{space 3}0.324{col 59}{space 4}-.0025368{col 72}{space 3} .0076793
{txt}{space 2}1.ebalancematch {c |}{col 19}{res}{space 2} .0107585{col 31}{space 2} .0239272{col 42}{space 1}    0.45{col 51}{space 3}0.653{col 59}{space 4}-.0361442{col 72}{space 3} .0576611
{txt}{space 17} {c |}
ebalancematch#c.t {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0023927{col 31}{space 2}  .003705{col 42}{space 1}   -0.65{col 51}{space 3}0.518{col 59}{space 4}-.0096552{col 72}{space 3} .0048699
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 5.070442{col 31}{space 2}  .016604{col 42}{space 1}  305.38{col 51}{space 3}0.000{col 59}{space 4} 5.037895{col 72}{space 3}  5.10299
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(sum of wgt is 71,029.3205338945)

Linear regression                               Number of obs     = {res}   118,585
                                                {txt}F(3, 10135)       =  {res}     0.03
                                                {txt}Prob > F          = {res}    0.9923
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 2.8364

{txt}{ralign 83:(Std. Err. adjusted for {res:10,136} clusters in customer)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     asinhpayment{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t {c |}{col 19}{res}{space 2}-.0007899{col 31}{space 2} .0031563{col 42}{space 1}   -0.25{col 51}{space 3}0.802{col 59}{space 4}-.0069768{col 72}{space 3} .0053971
{txt}{space 2}1.ebalancematch {c |}{col 19}{res}{space 2} .0060177{col 31}{space 2} .0309612{col 42}{space 1}    0.19{col 51}{space 3}0.846{col 59}{space 4}-.0546724{col 72}{space 3} .0667078
{txt}{space 17} {c |}
ebalancematch#c.t {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .0009729{col 31}{space 2}  .004778{col 42}{space 1}    0.20{col 51}{space 3}0.839{col 59}{space 4}-.0083929{col 72}{space 3} .0103387
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 2.058898{col 31}{space 2} .0204022{col 42}{space 1}  100.92{col 51}{space 3}0.000{col 59}{space 4} 2.018906{col 72}{space 3} 2.098891
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(sum of wgt is 71,029.3205338945)

Linear regression                               Number of obs     = {res}   118,585
                                                {txt}F(3, 10135)       =  {res}    59.17
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0020
                                                {txt}Root MSE          =    {res}  1.836

{txt}{ralign 83:(Std. Err. adjusted for {res:10,136} clusters in customer)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}     asinhinvoice{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t {c |}{col 19}{res}{space 2}-.0266271{col 31}{space 2} .0023643{col 42}{space 1}  -11.26{col 51}{space 3}0.000{col 59}{space 4}-.0312616{col 72}{space 3}-.0219926
{txt}{space 2}1.ebalancematch {c |}{col 19}{res}{space 2}-.0035444{col 31}{space 2}   .02628{col 42}{space 1}   -0.13{col 51}{space 3}0.893{col 59}{space 4}-.0550584{col 72}{space 3} .0479696
{txt}{space 17} {c |}
ebalancematch#c.t {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .0057285{col 31}{space 2}   .00377{col 42}{space 1}    1.52{col 51}{space 3}0.129{col 59}{space 4}-.0016614{col 72}{space 3} .0131183
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 4.397989{col 31}{space 2} .0160504{col 42}{space 1}  274.01{col 51}{space 3}0.000{col 59}{space 4} 4.366527{col 72}{space 3} 4.429451
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(sum of wgt is 71,029.3205338945)

Linear regression                               Number of obs     = {res}   118,585
                                                {txt}F(3, 10135)       =  {res}    24.86
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0007
                                                {txt}Root MSE          =    {res}   1203

{txt}{ralign 83:(Std. Err. adjusted for {res:10,136} clusters in customer)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}  closingbalancew{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 16}t {c |}{col 19}{res}{space 2} 9.461525{col 31}{space 2} 1.388898{col 42}{space 1}    6.81{col 51}{space 3}0.000{col 59}{space 4}  6.73901{col 72}{space 3} 12.18404
{txt}{space 2}1.ebalancematch {c |}{col 19}{res}{space 2}-.8019449{col 31}{space 2} 25.78592{col 42}{space 1}   -0.03{col 51}{space 3}0.975{col 59}{space 4}-51.34746{col 72}{space 3} 49.74357
{txt}{space 17} {c |}
ebalancematch#c.t {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0571982{col 31}{space 2} 2.251403{col 42}{space 1}   -0.03{col 51}{space 3}0.980{col 59}{space 4}-4.470394{col 72}{space 3} 4.355998
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 469.1119{col 31}{space 2}  15.4271{col 42}{space 1}   30.41{col 51}{space 3}0.000{col 59}{space 4} 438.8718{col 72}{space 3} 499.3521
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. restore
{txt}
{com}. 
.         
. ** Balance CEM **
. preserve
{txt}
{com}. drop if cem_match==.
{txt}(297,699 observations deleted)

{com}. drop if t>12
{txt}(49,561 observations deleted)

{com}. sum t

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 11}t {c |}{res}     56,283    6.669847     3.42542          1         12
{txt}
{com}. replace t=t-6.669847 // demean time var
{txt}(56,283 real changes made)

{com}. 
. foreach var of varlist paidcount lnpayment asinhpayment asinhinvoice closingbalancew {c -(}
{txt}  2{com}. reg `var' c.t##cem_match , vce(cluster customer)
{txt}  3{com}. {c )-}

{txt}Linear regression                               Number of obs     = {res}    56,283
                                                {txt}F(3, 5001)        =  {res}     0.16
                                                {txt}Prob > F          = {res}    0.9227
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} .47384

{txt}{ralign 79:(Std. Err. adjusted for {res:5,002} clusters in customer)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}    paidcount{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}t {c |}{col 15}{res}{space 2} .0002834{col 27}{space 2} .0006358{col 38}{space 1}    0.45{col 47}{space 3}0.656{col 55}{space 4} -.000963{col 68}{space 3} .0015298
{txt}{space 2}1.cem_match {c |}{col 15}{res}{space 2} .0020827{col 27}{space 2} .0065085{col 38}{space 1}    0.32{col 47}{space 3}0.749{col 55}{space 4}-.0106767{col 68}{space 3} .0148422
{txt}{space 13} {c |}
cem_match#c.t {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-2.53e-06{col 27}{space 2} .0009088{col 38}{space 1}   -0.00{col 47}{space 3}0.998{col 55}{space 4}-.0017842{col 68}{space 3} .0017792
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} .3392945{col 27}{space 2} .0045884{col 38}{space 1}   73.95{col 47}{space 3}0.000{col 55}{space 4} .3302993{col 68}{space 3} .3482897
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}    19,155
                                                {txt}F(3, 4550)        =  {res}     6.82
                                                {txt}Prob > F          = {res}    0.0001
                                                {txt}R-squared         = {res}    0.0010
                                                {txt}Root MSE          =    {res} 1.0271

{txt}{ralign 79:(Std. Err. adjusted for {res:4,551} clusters in customer)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}    lnpayment{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}t {c |}{col 15}{res}{space 2} .0094412{col 27}{space 2} .0029756{col 38}{space 1}    3.17{col 47}{space 3}0.002{col 55}{space 4} .0036076{col 68}{space 3} .0152748
{txt}{space 2}1.cem_match {c |}{col 15}{res}{space 2}-.0153513{col 27}{space 2}   .02702{col 38}{space 1}   -0.57{col 47}{space 3}0.570{col 55}{space 4}-.0683237{col 68}{space 3} .0376211
{txt}{space 13} {c |}
cem_match#c.t {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.0002589{col 27}{space 2} .0041517{col 38}{space 1}   -0.06{col 47}{space 3}0.950{col 55}{space 4}-.0083983{col 68}{space 3} .0078804
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  5.07286{col 27}{space 2} .0193036{col 38}{space 1}  262.79{col 47}{space 3}0.000{col 55}{space 4} 5.035015{col 68}{space 3} 5.110704
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}    56,283
                                                {txt}F(3, 5001)        =  {res}     1.15
                                                {txt}Prob > F          = {res}    0.3260
                                                {txt}R-squared         = {res}    0.0000
                                                {txt}Root MSE          =    {res} 2.7936

{txt}{ralign 79:(Std. Err. adjusted for {res:5,002} clusters in customer)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} asinhpayment{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}t {c |}{col 15}{res}{space 2} .0049092{col 27}{space 2} .0036937{col 38}{space 1}    1.33{col 47}{space 3}0.184{col 55}{space 4} -.002332{col 68}{space 3} .0121504
{txt}{space 2}1.cem_match {c |}{col 15}{res}{space 2} .0067661{col 27}{space 2} .0357498{col 38}{space 1}    0.19{col 47}{space 3}0.850{col 55}{space 4}-.0633192{col 68}{space 3} .0768513
{txt}{space 13} {c |}
cem_match#c.t {c |}
{space 11}1  {c |}{col 15}{res}{space 2}-.0000642{col 27}{space 2} .0052617{col 38}{space 1}   -0.01{col 47}{space 3}0.990{col 55}{space 4}-.0103795{col 68}{space 3} .0102511
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 1.956432{col 27}{space 2} .0254269{col 38}{space 1}   76.94{col 47}{space 3}0.000{col 55}{space 4} 1.906584{col 68}{space 3} 2.006279
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}    56,283
                                                {txt}F(3, 5001)        =  {res}    39.80
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0022
                                                {txt}Root MSE          =    {res}  1.745

{txt}{ralign 79:(Std. Err. adjusted for {res:5,002} clusters in customer)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1} asinhinvoice{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}t {c |}{col 15}{res}{space 2}-.0264802{col 27}{space 2} .0030886{col 38}{space 1}   -8.57{col 47}{space 3}0.000{col 55}{space 4}-.0325352{col 68}{space 3}-.0204251
{txt}{space 2}1.cem_match {c |}{col 15}{res}{space 2}-.0057593{col 27}{space 2} .0306069{col 38}{space 1}   -0.19{col 47}{space 3}0.851{col 55}{space 4}-.0657622{col 68}{space 3} .0542435
{txt}{space 13} {c |}
cem_match#c.t {c |}
{space 11}1  {c |}{col 15}{res}{space 2} .0060403{col 27}{space 2} .0043274{col 38}{space 1}    1.40{col 47}{space 3}0.163{col 55}{space 4}-.0024432{col 68}{space 3} .0145238
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 4.432391{col 27}{space 2} .0218528{col 38}{space 1}  202.83{col 47}{space 3}0.000{col 55}{space 4}  4.38955{col 68}{space 3} 4.475232
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{txt}Linear regression                               Number of obs     = {res}    56,283
                                                {txt}F(3, 5001)        =  {res}    40.61
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0014
                                                {txt}Root MSE          =    {res} 927.26

{txt}{ralign 79:(Std. Err. adjusted for {res:5,002} clusters in customer)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}closingbala~w{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}t {c |}{col 15}{res}{space 2} 10.03784{col 27}{space 2} 1.313716{col 38}{space 1}    7.64{col 47}{space 3}0.000{col 55}{space 4} 7.462376{col 68}{space 3}  12.6133
{txt}{space 2}1.cem_match {c |}{col 15}{res}{space 2}-7.552752{col 27}{space 2} 25.42164{col 38}{space 1}   -0.30{col 47}{space 3}0.766{col 55}{space 4}-57.39032{col 68}{space 3} 42.28482
{txt}{space 13} {c |}
cem_match#c.t {c |}
{space 11}1  {c |}{col 15}{res}{space 2} .3031102{col 27}{space 2} 1.850233{col 38}{space 1}    0.16{col 47}{space 3}0.870{col 55}{space 4}-3.324158{col 68}{space 3} 3.930379
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 392.9433{col 27}{space 2} 17.77578{col 38}{space 1}   22.11{col 47}{space 3}0.000{col 55}{space 4}  358.095{col 68}{space 3} 427.7916
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. restore
{txt}
{com}.         
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/sebastiantonke/Desktop/Replication Package/Replication files experiment/output_logs/table A18.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}12 Jul 2023, 04:15:42
{txt}{.-}
{smcl}
{txt}{sf}{ul off}